Dynatrace

Developer Tools

Neotask turns Dynatrace into an autonomous observability engine - querying metrics, analyzing problems, detecting vulnerabilities, and triggering notifications so your infrastructure runs itself.

• Incidents get investigated automatically - your agent lists problems, queries DQL for root causes, and generates Slack or email notifications before your team even opens a dashboard
• Security vulnerabilities get surfaced in real time - your agent monitors CVEs, lists exceptions, and integrates findings into your incident workflow without manual scans
• Observability becomes conversational - describe what you want to know about your infrastructure in plain language and your agent queries DQL and Davis AI on your behalf

What You Can Do

The Dynatrace integration gives Neotask 20 actions for full-stack observability.

Area	Actions	What They Do
Environment & Discovery	Get environment info, find entity by name	Understand your monitored environment and locate specific services, hosts, and processes
Problem Management	List problems	Surface active incidents and performance degradations
Security	List vulnerabilities, list exceptions	Monitor CVEs and application security exceptions
DQL Queries	Execute DQL, verify DQL, generate DQL from natural language, explain DQL	Query your observability data lake with full Dynatrace Query Language support
Davis AI	Chat with Davis Copilot, list Davis analyzers, execute Davis analyzer	Leverage Dynatrace's AI engine for intelligent analysis and root cause detection
Kubernetes	Get Kubernetes events	Monitor container orchestration layer events
Notifications	Send Slack message, send email, send event	Deliver alerts and updates to the right channels
Workflows	Create workflow for notification, make workflow public	Build automated response workflows
Infrastructure	Reset Grail budget, create Dynatrace notebook	Manage observability platform resources

Every action runs autonomously or requires your approval - you decide.

Try Asking

• "List all active problems in production right now and send a summary to the #incidents Slack channel"
• "Generate a DQL query to find p99 response time for the checkout service over the last hour"
• "Are there any critical vulnerabilities in our monitored environment?"
• "Chat with Davis Copilot: why is our API gateway showing elevated error rates?"
• "Get all Kubernetes events from the last 30 minutes and flag any CrashLoopBackOffs"
• "Create a workflow that sends an email alert whenever a new critical problem is detected"
• "List all exceptions thrown by the payment service today grouped by error type"

Pro Tips

• Use natural language DQL generation for ad-hoc queries - describe what you want to know and your agent writes and executes the query
• Schedule nightly vulnerability checks: your agent lists CVEs, assesses severity, and creates a summary for your security team
• Approval gates work well for workflow creation - your agent drafts the alerting workflow and you review before it goes live
• Multi-agent teams excel at incident response: one agent investigates root causes, another notifies stakeholders, a third creates runbooks
• Combine Davis Copilot conversations with problem list analysis for faster mean-time-to-resolution

Plans

Works Well With

• BigQuery - Connect BigQuery and Dynatrace with Neotask to unify observability data and cloud analytics for faster incident response...
• Todoist - Connect Drip and Linear with Neotask to sync ecommerce campaigns with your engineering workflow. Automate issue tracking...

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